Andrew S. Alexander

Predictive pursuit emerges in high-dimensional recurrent neural networks

This paper shows that high-dimensional recurrent neural networks develop predictive pursuit strategies similar to rodent behavior, with performance dependent on network dimensionality.

Dynamic imbalances in cell-type-specific striatal ensembles reflect learned coupling between trajectory representations and locomotor dynamics

The paper shows that imbalances between direct and indirect striatal pathways during locomotion are dynamic and task-dependent, linking trajectory representations to behavioral changes.

Learning the Vector Coding of Egocentric Boundary Cells from Visual Data

This paper shows that egocentric boundary cells can be generated with a simple synaptic learning rule that creates sparse representations of visual input, matching observed neural activity in retrosplenial cortex.

Adaptive integration of self-motion and goals in posterior parietal cortex

This study investigates how posterior parietal cortex encodes self-motion during different navigational tasks in rats, finding that task context modulates sensitivity and dynamic range of self-motion processing.

Egocentric boundary vector tuning of the retrosplenial cortex

The paper identifies an egocentric spatial code in the retrosplenial cortex that is context invariant and supports spatial coordinate transformations.

Spatially periodic activation patterns of retrosplenial cortex encode route sub-spaces and distance travelled

This study shows retrosplenial cortex neurons encode route sub-spaces and distance travelled through periodic activation patterns in rats.

Transformation of Independent Oscillatory Inputs into Temporally Precise Rate Codes

The paper identifies an input/output transform in basal forebrain neurons that converts oscillatory inputs into temporally precise rate codes aligned with task progression.